J. Alex Harston
Papers
2
Total Citations
6
H-Index
2
About
J. Alex Harston is a computational neuroscientist whose work bridges machine learning and sensory neurobiology, with a primary focus on proprioception—the body’s sense of limb position and movement, one of the least understood sensory systems. Harston’s major contribution is the development of the topographic variational autoencoder with lateral connectivity (topo-VAE), a novel deep learning framework that models how the brain might represent limb pose in the somatosensory cortex. By incorporating topographic organization and lateral connections inspired by cortical anatomy, this model generates testable predictions about neural coding and cortical maps, offering a powerful new tool for probing the neural basis of proprioception. Though early in its impact, Harston’s work has already garnered attention (with papers accumulating 4 and 2 citations, respectively), and the topo-VAE approach represents a significant methodological advance in linking artificial neural networks to biological sensory processing. This research holds promise for advancing both fundamental neuroscience and applications in prosthetics and motor rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2